The paper evaluates the contribution of morphological factors to the probability of sentence boundaries in Russian unscripted monologue. The analysis is based on multiple expert manual annotations of unscripted speech which allow obtaining fine-grained estimates of the probability of sentence boundary at each word junction. We used linear regression analysis to explore whether there is a relationship between sentence boundaries marked by the annotators and the grammatical features of the text. We focused on morphological factors related to the presence or absence of sentence boundaries.
Original languageEnglish
Title of host publicationSpeech and Computer
Subtitle of host publication19th International Conference, SPECOM 2017, Hatfield, UK, September 12-16, 2017, Proceedings
PublisherSpringer Nature
Pages731-740
ISBN (Electronic)978-3-319-66429-3
ISBN (Print)978-3-319-66428-6
DOIs
StatePublished - 2017
Event19th International Conference on Speech and Computer - Hatfield, United Kingdom
Duration: 11 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Nature
Volume10458
ISSN (Print)0302-9743

Conference

Conference19th International Conference on Speech and Computer
Abbreviated titleSPECOM 2017
Country/TerritoryUnited Kingdom
CityHatfield
Period11/09/1715/09/17

    Scopus subject areas

  • Arts and Humanities(all)

    Research areas

  • Spontaneous speech, Unscripted speech, Speech perception, Morphology, Sentence boundary detection, Manual annotation, Segmentation, Russian language resources

ID: 71328452